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Invariant pattern recognition by use of a spatial code division multiplexing approach.
MedLine Citation:
PMID:  12816321     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
Invariant pattern recognition can be achieved by use of harmonic decomposition, for example circular harmonics are used for rotation invariant recognition. A common problem with such methods is that often only a single term of the harmonic decomposition is used, and it does not contain a sufficient amount of the reference energy. Thus discrimination capability is limited, especially in the presence of noise or other disturbances. By using several terms of the harmonic decomposition together this problem can be solved; this can be achieved by the use of code division filter multiplexing. Several harmonic terms are encoded onto a single filter, and the signal is simultaneously correlated with all of them, hence producing enhanced discrimination capabilities. Here two methods are suggested for such encoding. The first involves multiplexing the filters in the Fourier plane, while the second involves multiplexing in the image plane.
Authors:
Jonathan Solomon; Zeev Zalevsky; David Mendlovic
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied optics     Volume:  42     ISSN:  0003-6935     ISO Abbreviation:  Appl Opt     Publication Date:  2003 Jun 
Date Detail:
Created Date:  2003-06-20     Completed Date:  2003-06-24     Revised Date:  2003-11-04    
Medline Journal Info:
Nlm Unique ID:  0247660     Medline TA:  Appl Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3345-55     Citation Subset:  -    
Affiliation:
Faculty of Engineering, Department of Physical Electronics, Tel Aviv University, 69978, Tel Aviv, Israel.
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